Profile Job Results
Jobs
j57dwxkr5
Results Ready
Name
ffnet_54s
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
3/8/2026, 4:04:56 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
8.84 ms
Estimated Peak Memory Usage
0 ‑ 199 MB
Compute Units
NPU
120
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 229‑235 MB |
Subsequent App Load | 393 ms | 19‑219 MB |
Inference | 8.84 ms | 0‑199 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
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